Update my_model/tabs/readme.txt

my_model/tabs/readme.txt

@@ -2,10 +2,12 @@
 Directory Overview: This directory contains all the atreamlit application pages:
 
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 ## 1. home.py
 the `home.py` displays an introduction to the application with brief background and description of the application tools. 
 
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 ## 2. results.py
 The `results.py` module manages the interactive Streamlit demo for visualizing model evaluation results and analysis. 
 It provides an interface for users to explore different aspects of model performance and evaluation samples.
@@ -15,6 +17,7 @@ Ensure the necessary dependencies are installed and properly configured.
 The `run_demo` function relies on the ResultDemonstrator class to generate plots and display results.
 
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 ## 3. run_inference.py
 The `run_inference.py` is responsible for the running inference to test and use the fine-tuned models. 
 It manages the user interface and interactions for a Streamlit-based Knowledge-Based Visual Question 
@@ -33,6 +36,7 @@ The `model_arch.py` displays the model architecture and accompanying abstract an
 Knowledge-Based Visual Question Answering (KB-VQA) model.
 
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 ## 5. dataset_analysis.py
 The dataset_analysis.py module provides tools for analyzing and visualizing distributions of question types 
 within given question datasets for Knowledge-Based Visual Question Answering (KBVQA). It supports operations